Seymour Geisser

80 papers and 13.0k indexed citations i.

About

Seymour Geisser is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Seymour Geisser has authored 80 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Seymour Geisser’s work include Advanced Statistical Methods and Models (22 papers), Statistical Methods and Bayesian Inference (16 papers) and Advanced Statistical Process Monitoring (9 papers). Seymour Geisser is often cited by papers focused on Advanced Statistical Methods and Models (22 papers), Statistical Methods and Bayesian Inference (16 papers) and Advanced Statistical Process Monitoring (9 papers). Seymour Geisser collaborates with scholars based in United States, Poland and Australia. Seymour Geisser's co-authors include Samuel W. Greenhouse, B. J. WINER, William F. Eddy, Wesley O. Johnson, Peter Enis, Jerome Cornfield, Ettore Appella, Michael Potter, Walter Johnson and Nathan Mantel and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Molecular Biology and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Seymour Geisser i

Fields of papers citing papers by Seymour Geisser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seymour Geisser. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Seymour Geisser. The network helps show where Seymour Geisser may publish in the future.

Countries citing papers authored by Seymour Geisser

Since Specialization
Citations

This map shows the geographic impact of Seymour Geisser's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Seymour Geisser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seymour Geisser more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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